Course

DevOps, Kubernetes & Platform Engineering with AI

A complete, cloud-agnostic DevOps and Platform Engineering program: Git and Linux fundamentals, Docker deep-dive, core and advanced Kubernetes (Helm, Operators, autoscaling, ingress), CI/CD pipeline engineering and GitOps with ArgoCD/Flux, multi-cloud Terraform and Packer, observability with Prometheus/Grafana/ELK/OpenTelemetry, Platform Engineering with Internal Developer Platforms (Backstage), DevSecOps (Vault, OPA/Kyverno, SBOM), and AI-augmented SRE and incident response — choose from 6 flexible packages, each with mock-interview checkpoints and full career-launch support.

⏱ 14.5 Weeks 🖥 Online 💻 5 Projects ⭐ 4.8/5

🎓 Book Free Demo 📞 +91 75502 51906

INCLUDED AT NO COST

Everything below is included at no extra cost

🚀 FREE!

Live Project(s)

💼 FREE!

Job Reference(s)

🎓 FREE!

Career Guidance

♾️ FREE!

Life Time Support

PACKAGES

We Offer Responsive Packages With An Unexplored Syllabus

Best for beginners

⏱ 4.5 Weeks

★ 4.7/5

DevOps Foundations

Git, Linux, Docker and core Kubernetes — the ground floor every DevOps role is built on.

DevOps Culture, Git & Linux Fundamentals
Docker Deep Dive
Kubernetes Core Concepts
Comprehensive Interview Prep & Career Launch

Git, Linux, Bash, Docker, Kubernetes

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Most enrolled

⏱ 6 Weeks

★ 4.9/5

Kubernetes Specialist

Core through advanced Kubernetes — Helm, Operators, autoscaling and ingress, the most in-demand DevOps skill on its own.

DevOps Culture, Git & Linux Fundamentals
Docker Deep Dive
Kubernetes Core Concepts
Advanced Kubernetes
Comprehensive Interview Prep & Career Launch

Docker, Kubernetes, Helm, HPA/VPA, Ingress controllers

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Automation focused

⏱ 7 Weeks

★ 4.8/5

CI/CD & GitOps Core

Pipelines, GitOps with ArgoCD/Flux, progressive delivery and multi-cloud Terraform — the automation backbone of any DevOps team.

Docker Deep Dive
Kubernetes Core Concepts
CI/CD Pipeline Engineering & GitOps
Infrastructure as Code (Multi-Cloud)
Comprehensive Interview Prep & Career Launch

GitLab CI, Jenkins, ArgoCD, Flux, Argo Rollouts, Terraform, Packer

View Curriculum →

AI-specialized

⏱ 6 Weeks

★ 4.8/5

Observability, Platform Engineering & AI SRE

Monitoring, Internal Developer Platforms, DevSecOps and AI-augmented SRE — the emerging, highest-leverage side of DevOps for 2026.

Observability & Monitoring
Platform Engineering & Internal Developer Platforms
DevSecOps & Security
AI-Augmented SRE & Platform Engineering
Comprehensive Interview Prep & Career Launch

Prometheus, Grafana, ELK, OpenTelemetry, Backstage, Vault, OPA, AI-assisted IaC/incident tools

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Flagship

⏱ 14.5 Weeks

★ 4.9/5

Complete DevOps & Platform Engineering Flagship

Every module — Docker, Kubernetes, GitOps CI/CD, multi-cloud IaC, observability, platform engineering, DevSecOps and AI-augmented SRE — the full path.

All 11 core modules, start to finish
Docker & Kubernetes core through advanced
GitOps CI/CD & multi-cloud Terraform
Observability, Platform Engineering, DevSecOps & AI SRE
Comprehensive Interview Prep & Career Launch

Git, Linux, Docker, Kubernetes, Helm, ArgoCD, Flux, Terraform, Packer, Prometheus, Grafana, ELK, OpenTelemetry, Backstage, Vault, OPA, Kyverno, AI-assisted DevOps tools

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Customized

⏱ Custom

★ 4.8/5

Build Your Own (Customized)

Pick exactly the modules you need from the full DevOps & Platform Engineering module bank, priced and scheduled to match.

Choose any modules from the shared bank
Custom duration & pricing
Same trainers, same mock-interview access
Comprehensive Interview Prep & Career Launch included

Selected per module

View Curriculum →

LEARNING OUTCOMES

What you will be able to do

Concrete skills, not topic names — each one is something you can show an interviewer.

🎯

Design test cases that find real defects

Boundary values, equivalence classes and edge cases — not just happy-path coverage.

🧪

Automate with a real framework

Page Object Model, reusable helpers and a suite you can actually maintain.

📊

Read a defect report the way a developer will

Reproduction steps, severity and evidence — reports that get fixed, not ignored.

🔧

Build and maintain a test suite

Structure tests so they survive the product changing under them.

🔗

Test APIs, not just interfaces

Postman and REST Assured, including auth flows most courses skip.

📈

Run suites in a CI pipeline

Jenkins and GitHub Actions — tests that run on every commit automatically.

TOOLS & SKILLS

Tools and skills covered

Java

Selenium

TestNG

Postman

Git

Jenkins

JMeter

SQL

🏆

Certificate of Completion

Awarded once every module and project is complete — recognised by our hiring partners.

IS THIS FOR YOU?

Who this course is for

If none of these describe you, tell us — we will point you at a better fit rather than sell you this one.

🎓

Freshers from any engineering branch

🔁

Manual testers hitting the automation ceiling

💻

Support engineers moving into QA

WHY IN FOURCUP?

Software Testing Program

Practical exposure to actual work environment

Work on live, under-construction projects with the exposure of an actual work environment, alongside a freelancer.

Dynamic syllabus structure

Built with multiple industry experts, so students become genuinely fluent in the subject rather than exam-ready.

Expert teachers who are active practitioners too

Mentors bring real industry experience and share their ups, downs and delivery skills, not just slides.

GET STARTED

Get Started Today

Download our Syllabus and review it thoroughly.

Request Call Back / Apply the Enquiry Form.

Join Our Free Demo Class.

Understand the Opportunity.

Join the Training session and become an expert!

KEEP EXPLORING

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AI, ML & Soft Skills

AI, ML & Soft Skills — Complete Career Accelerator

A complete AI/ML Engineer flagship program covering Python and statistical foundations, classical machine learning with scikit-learn, XGBoost and LightGBM, deep learning with PyTorch, the full LLM/GenAI engineering stack (Hugging Face, LangChain, LlamaIndex, fine-tuning, end-to-end RAG pipeline design), vector databases (Pinecone, Weaviate, Chroma, Milvus), MLOps (FastAPI, Docker, Kubernetes, MLflow, Airflow, ONNX), AI agent frameworks (LangGraph, AutoGen, CrewAI, MCP) and responsible AI — folded together with professional communication, behavioral interview mastery and resume/portfolio building, so technical depth and interview readiness are built in one program instead of two.

PythonNumPypandasscikit-learnXGBoost+19 more

15% OFF Flagship AI/ML program

AI, ML & Soft Skills

Soft Skills & Interview Readiness Add-On

A focused Soft Skills & Interview Readiness program covering professional communication for technical roles, group discussion and aptitude fundamentals, the STAR method for behavioral interviews, body language and virtual-interview presence, salary negotiation and offer evaluation, workplace professionalism, and resume/LinkedIn optimization — anchored by a mock interview tailored to your own track (developer, tester or cloud/DevOps), not a generic HR-round rehearsal. Designed to work equally well as a standalone short course or as an add-on graduates of other Fourcup tracks bolt onto their main course.

Zoom/Google MeetSlackLinkedInResume templates

22% OFF Standalone or add-on

AI, ML & Soft Skills

AI & GenAI Add-On — Practical AI Skills for Tech Professionals

Works two ways: as a standalone short course in practical AI/GenAI literacy, or as an add-on for graduates of Fourcup's testing, development or cloud/DevOps tracks who want to layer AI skills onto their main course. Covers what LLMs are and aren't, prompt engineering, evaluating AI output critically, using AI coding/testing/ops assistants day to day, RAG (embeddings, vector databases), calling LLM APIs with streaming and tool-calling, a beginner-level intro to AI agents (LangGraph, AutoGen, CrewAI, MCP), and responsible AI use — scoped for practical fluency, not full ML engineering depth.

ChatGPTClaudeGeminiGitHub CopilotClaude Code+10 more

20% OFF Add-on ready

CURRICULUM

Module by module

Open any module to see exactly what it covers. Nothing is hidden behind a "download the syllabus" form.

4.5 Weeks

DURATION

MODULES

REAL-TIME PROJECTS

MOCK INTERVIEWS

Best for beginners

DevOps Foundations

⏱ 4.5 Weeks ★ 4.7

4 modules

Most enrolled

Kubernetes Specialist

⏱ 6 Weeks ★ 4.9

5 modules

Automation focused

CI/CD & GitOps Core

⏱ 7 Weeks ★ 4.8

5 modules

AI-specialized

Observability, Platform Engineering & AI SRE

⏱ 6 Weeks ★ 4.8

5 modules

Flagship

Complete DevOps & Platform Engineering Flagship

⏱ 14.5 Weeks ★ 4.9

11 modules

Customized

Build Your Own (Customized)

⏱ Custom ★ 4.8

0 modules

1 DevOps Culture, Git & Linux Fundamentals 1 wk ▾

Topic	What You'll Learn
1. DevOps Principles & the CALMS Framework	Culture, Automation, Lean, Measurement and Sharing, and why "DevOps is a tool you install" is the first wrong idea to unlearn.
2. Git Branching & Workflows at Scale	Trunk-based development, feature branches, rebasing vs. merging, and resolving the conflicts a solo tutorial never shows you.
3. Linux Administration for DevOps Engineers	Process management, systemd, file permissions, networking basics and package management on the distros teams actually run in production.
4. Shell Scripting for Automation	Writing Bash scripts that other engineers can read and safely re-run, not one-off one-liners that break on the next input.
4.1) Why this module exists	Every tool taught after this one assumes comfortable Git and Linux — skipping this is why "I learned Kubernetes" candidates still stall on a live terminal round.

Topic	What You'll Learn
1. DevOps Principles & the CALMS Framework	Culture, Automation, Lean, Measurement and Sharing, and why "DevOps is a tool you install" is the first wrong idea to unlearn.
2. Git Branching & Workflows at Scale	Trunk-based development, feature branches, rebasing vs. merging, and resolving the conflicts a solo tutorial never shows you.
3. Linux Administration for DevOps Engineers	Process management, systemd, file permissions, networking basics and package management on the distros teams actually run in production.
4. Shell Scripting for Automation	Writing Bash scripts that other engineers can read and safely re-run, not one-off one-liners that break on the next input.
4.1) Why this module exists	Every tool taught after this one assumes comfortable Git and Linux — skipping this is why "I learned Kubernetes" candidates still stall on a live terminal round.

2 Docker Deep Dive 1.5 wks ▾

Topic	What You'll Learn
1. Multi-Stage Builds	Cutting a 1.2GB image down to a lean production image by separating build-time and run-time layers.
2. Image Optimization & Security Scanning	Layer caching, minimal base images (distroless/alpine) and scanning images for known CVEs before they ship.
3. Docker Compose for Local Development	Wiring up a multi-container app (API, database, cache) so a new teammate is productive in one command.
4. Container Networking & Storage	Bridge networks, volumes vs. bind mounts, and why "it worked on my machine" is usually a networking or storage assumption.
4.1) Real-world starting point	Most engineers meet Docker as a black box that "just runs the app." This module is built around debugging a container that won't start, which is the actual day-one skill.

3 Kubernetes Core Concepts 1.5 wks ▾

Topic	What You'll Learn
1. Pods, Deployments & Services	The core objects, how a Deployment manages ReplicaSets, and exposing a workload inside and outside the cluster.
2. ConfigMaps & Secrets	Externalizing configuration and sensitive values from container images the right way, and the ways teams still get this wrong.
3. Namespaces & Resource Organization	Isolating teams and environments on a shared cluster without stepping on each other's workloads.
4. Scheduling & Resource Requests/Limits	How the scheduler places pods, and why an app with no resource limits set is a production incident waiting to happen.
5. Health Checks & Probes	Liveness, readiness and startup probes, and the difference between "the container is running" and "the container is actually healthy."
6. 🚀 Mock Interview Checkpoint	Kubernetes core: explain a Deployment's rollout, debug a CrashLoopBackOff, and "why is this pod not receiving traffic" live troubleshooting.

Topic	What You'll Learn
1. Pods, Deployments & Services	The core objects, how a Deployment manages ReplicaSets, and exposing a workload inside and outside the cluster.
2. ConfigMaps & Secrets	Externalizing configuration and sensitive values from container images the right way, and the ways teams still get this wrong.
3. Namespaces & Resource Organization	Isolating teams and environments on a shared cluster without stepping on each other's workloads.
4. Scheduling & Resource Requests/Limits	How the scheduler places pods, and why an app with no resource limits set is a production incident waiting to happen.
5. Health Checks & Probes	Liveness, readiness and startup probes, and the difference between "the container is running" and "the container is actually healthy."
6. 🚀 Mock Interview Checkpoint	Kubernetes core: explain a Deployment's rollout, debug a CrashLoopBackOff, and "why is this pod not receiving traffic" live troubleshooting.

4 Comprehensive Interview Preparation & Career Launch 0.5 wk ▾

Topic	What You'll Learn
1. DevOps/SRE/Platform Engineer Interview Question Bank	Docker, Kubernetes, CI/CD, IaC and observability questions asked in real interviews, reviewed and explained.
2. Resume & LinkedIn Building for DevOps/SRE/Platform Roles	Framing infrastructure and reliability work the way a hiring manager actually scans a resume.
3. Live Mock Interviews with Feedback	Recorded, one-on-one mock interviews with a working DevOps/SRE engineer, with specific, actionable feedback.
4. "Debug This Production Incident Live" Round	Practising the exact live-troubleshooting question that separates candidates who've memorized commands from those who can actually reason under pressure.
5. Salary Negotiation & Offer Evaluation	Reading an offer letter and negotiating from an informed position.
6. Placement Assistance	Referrals and interview opportunities where available, resume review, and continued mentor access after the course ends. Placement assistance is support, not a guarantee of a job or a specific salary — see full terms.
7. 🚀 Final Mock Interview	A full-length, role-realistic DevOps/SRE/Platform Engineer interview, end to end.

Topic	What You'll Learn
1. DevOps/SRE/Platform Engineer Interview Question Bank	Docker, Kubernetes, CI/CD, IaC and observability questions asked in real interviews, reviewed and explained.
2. Resume & LinkedIn Building for DevOps/SRE/Platform Roles	Framing infrastructure and reliability work the way a hiring manager actually scans a resume.
3. Live Mock Interviews with Feedback	Recorded, one-on-one mock interviews with a working DevOps/SRE engineer, with specific, actionable feedback.
4. "Debug This Production Incident Live" Round	Practising the exact live-troubleshooting question that separates candidates who've memorized commands from those who can actually reason under pressure.
5. Salary Negotiation & Offer Evaluation	Reading an offer letter and negotiating from an informed position.
6. Placement Assistance	Referrals and interview opportunities where available, resume review, and continued mentor access after the course ends. Placement assistance is support, not a guarantee of a job or a specific salary — see full terms.
7. 🚀 Final Mock Interview	A full-length, role-realistic DevOps/SRE/Platform Engineer interview, end to end.

1 DevOps Culture, Git & Linux Fundamentals 0.5 wk ▾

Topic	What You'll Learn
1. DevOps Principles & the CALMS Framework	Culture, Automation, Lean, Measurement and Sharing, and why "DevOps is a tool you install" is the first wrong idea to unlearn.
2. Git Branching & Workflows at Scale	Trunk-based development, feature branches, rebasing vs. merging, and resolving the conflicts a solo tutorial never shows you.
3. Linux Administration for DevOps Engineers	Process management, systemd, file permissions, networking basics and package management on the distros teams actually run in production.
4. Shell Scripting for Automation	Writing Bash scripts that other engineers can read and safely re-run, not one-off one-liners that break on the next input.
4.1) Why this module exists	Every tool taught after this one assumes comfortable Git and Linux — skipping this is why "I learned Kubernetes" candidates still stall on a live terminal round.

Topic	What You'll Learn
1. DevOps Principles & the CALMS Framework	Culture, Automation, Lean, Measurement and Sharing, and why "DevOps is a tool you install" is the first wrong idea to unlearn.
2. Git Branching & Workflows at Scale	Trunk-based development, feature branches, rebasing vs. merging, and resolving the conflicts a solo tutorial never shows you.
3. Linux Administration for DevOps Engineers	Process management, systemd, file permissions, networking basics and package management on the distros teams actually run in production.
4. Shell Scripting for Automation	Writing Bash scripts that other engineers can read and safely re-run, not one-off one-liners that break on the next input.
4.1) Why this module exists	Every tool taught after this one assumes comfortable Git and Linux — skipping this is why "I learned Kubernetes" candidates still stall on a live terminal round.

2 Docker Deep Dive 1.5 wks ▾

Topic	What You'll Learn
1. Multi-Stage Builds	Cutting a 1.2GB image down to a lean production image by separating build-time and run-time layers.
2. Image Optimization & Security Scanning	Layer caching, minimal base images (distroless/alpine) and scanning images for known CVEs before they ship.
3. Docker Compose for Local Development	Wiring up a multi-container app (API, database, cache) so a new teammate is productive in one command.
4. Container Networking & Storage	Bridge networks, volumes vs. bind mounts, and why "it worked on my machine" is usually a networking or storage assumption.
4.1) Real-world starting point	Most engineers meet Docker as a black box that "just runs the app." This module is built around debugging a container that won't start, which is the actual day-one skill.

3 Kubernetes Core Concepts 1.5 wks ▾

Topic	What You'll Learn
1. Pods, Deployments & Services	The core objects, how a Deployment manages ReplicaSets, and exposing a workload inside and outside the cluster.
2. ConfigMaps & Secrets	Externalizing configuration and sensitive values from container images the right way, and the ways teams still get this wrong.
3. Namespaces & Resource Organization	Isolating teams and environments on a shared cluster without stepping on each other's workloads.
4. Scheduling & Resource Requests/Limits	How the scheduler places pods, and why an app with no resource limits set is a production incident waiting to happen.
5. Health Checks & Probes	Liveness, readiness and startup probes, and the difference between "the container is running" and "the container is actually healthy."
6. 🚀 Mock Interview Checkpoint	Kubernetes core: explain a Deployment's rollout, debug a CrashLoopBackOff, and "why is this pod not receiving traffic" live troubleshooting.

Topic	What You'll Learn
1. Pods, Deployments & Services	The core objects, how a Deployment manages ReplicaSets, and exposing a workload inside and outside the cluster.
2. ConfigMaps & Secrets	Externalizing configuration and sensitive values from container images the right way, and the ways teams still get this wrong.
3. Namespaces & Resource Organization	Isolating teams and environments on a shared cluster without stepping on each other's workloads.
4. Scheduling & Resource Requests/Limits	How the scheduler places pods, and why an app with no resource limits set is a production incident waiting to happen.
5. Health Checks & Probes	Liveness, readiness and startup probes, and the difference between "the container is running" and "the container is actually healthy."
6. 🚀 Mock Interview Checkpoint	Kubernetes core: explain a Deployment's rollout, debug a CrashLoopBackOff, and "why is this pod not receiving traffic" live troubleshooting.

4 Advanced Kubernetes 1.5 wks ▾

Topic	What You'll Learn
1. Helm Charts	Templating and packaging Kubernetes manifests so an app ships the same way across dev, staging and production.
2. Kubernetes Operators	What an Operator is, the controller pattern behind it, and why teams reach for one instead of a pile of custom scripts.
3. Autoscaling	HPA, VPA and the Cluster Autoscaler working together so a workload scales with real demand instead of a guessed replica count.
4. StatefulSets	Running stateful workloads (databases, queues) on Kubernetes correctly, with stable network identity and ordered rollout.
5. Ingress Controllers	Routing external traffic into the cluster, TLS termination, and path- and host-based routing rules.
5.1) Why this module exists	This is the gap between "I deployed an app to Kubernetes once" and "I run production workloads on Kubernetes" — the line hiring managers actually probe for.

Topic	What You'll Learn
1. Helm Charts	Templating and packaging Kubernetes manifests so an app ships the same way across dev, staging and production.
2. Kubernetes Operators	What an Operator is, the controller pattern behind it, and why teams reach for one instead of a pile of custom scripts.
3. Autoscaling	HPA, VPA and the Cluster Autoscaler working together so a workload scales with real demand instead of a guessed replica count.
4. StatefulSets	Running stateful workloads (databases, queues) on Kubernetes correctly, with stable network identity and ordered rollout.
5. Ingress Controllers	Routing external traffic into the cluster, TLS termination, and path- and host-based routing rules.
5.1) Why this module exists	This is the gap between "I deployed an app to Kubernetes once" and "I run production workloads on Kubernetes" — the line hiring managers actually probe for.

5 Comprehensive Interview Preparation & Career Launch 1 wk ▾

Topic	What You'll Learn
1. DevOps/SRE/Platform Engineer Interview Question Bank	Docker, Kubernetes, CI/CD, IaC and observability questions asked in real interviews, reviewed and explained.
2. Resume & LinkedIn Building for DevOps/SRE/Platform Roles	Framing infrastructure and reliability work the way a hiring manager actually scans a resume.
3. Live Mock Interviews with Feedback	Recorded, one-on-one mock interviews with a working DevOps/SRE engineer, with specific, actionable feedback.
4. "Debug This Production Incident Live" Round	Practising the exact live-troubleshooting question that separates candidates who've memorized commands from those who can actually reason under pressure.
5. Salary Negotiation & Offer Evaluation	Reading an offer letter and negotiating from an informed position.
6. Placement Assistance	Referrals and interview opportunities where available, resume review, and continued mentor access after the course ends. Placement assistance is support, not a guarantee of a job or a specific salary — see full terms.
7. 🚀 Final Mock Interview	A full-length, role-realistic DevOps/SRE/Platform Engineer interview, end to end.

Topic	What You'll Learn
1. DevOps/SRE/Platform Engineer Interview Question Bank	Docker, Kubernetes, CI/CD, IaC and observability questions asked in real interviews, reviewed and explained.
2. Resume & LinkedIn Building for DevOps/SRE/Platform Roles	Framing infrastructure and reliability work the way a hiring manager actually scans a resume.
3. Live Mock Interviews with Feedback	Recorded, one-on-one mock interviews with a working DevOps/SRE engineer, with specific, actionable feedback.
4. "Debug This Production Incident Live" Round	Practising the exact live-troubleshooting question that separates candidates who've memorized commands from those who can actually reason under pressure.
5. Salary Negotiation & Offer Evaluation	Reading an offer letter and negotiating from an informed position.
6. Placement Assistance	Referrals and interview opportunities where available, resume review, and continued mentor access after the course ends. Placement assistance is support, not a guarantee of a job or a specific salary — see full terms.
7. 🚀 Final Mock Interview	A full-length, role-realistic DevOps/SRE/Platform Engineer interview, end to end.

1 Docker Deep Dive 1 wk ▾

Topic	What You'll Learn
1. Multi-Stage Builds	Cutting a 1.2GB image down to a lean production image by separating build-time and run-time layers.
2. Image Optimization & Security Scanning	Layer caching, minimal base images (distroless/alpine) and scanning images for known CVEs before they ship.
3. Docker Compose for Local Development	Wiring up a multi-container app (API, database, cache) so a new teammate is productive in one command.
4. Container Networking & Storage	Bridge networks, volumes vs. bind mounts, and why "it worked on my machine" is usually a networking or storage assumption.
4.1) Real-world starting point	Most engineers meet Docker as a black box that "just runs the app." This module is built around debugging a container that won't start, which is the actual day-one skill.

2 Kubernetes Core Concepts 1.5 wks ▾

Topic	What You'll Learn
1. Pods, Deployments & Services	The core objects, how a Deployment manages ReplicaSets, and exposing a workload inside and outside the cluster.
2. ConfigMaps & Secrets	Externalizing configuration and sensitive values from container images the right way, and the ways teams still get this wrong.
3. Namespaces & Resource Organization	Isolating teams and environments on a shared cluster without stepping on each other's workloads.
4. Scheduling & Resource Requests/Limits	How the scheduler places pods, and why an app with no resource limits set is a production incident waiting to happen.
5. Health Checks & Probes	Liveness, readiness and startup probes, and the difference between "the container is running" and "the container is actually healthy."
6. 🚀 Mock Interview Checkpoint	Kubernetes core: explain a Deployment's rollout, debug a CrashLoopBackOff, and "why is this pod not receiving traffic" live troubleshooting.

Topic	What You'll Learn
1. Pods, Deployments & Services	The core objects, how a Deployment manages ReplicaSets, and exposing a workload inside and outside the cluster.
2. ConfigMaps & Secrets	Externalizing configuration and sensitive values from container images the right way, and the ways teams still get this wrong.
3. Namespaces & Resource Organization	Isolating teams and environments on a shared cluster without stepping on each other's workloads.
4. Scheduling & Resource Requests/Limits	How the scheduler places pods, and why an app with no resource limits set is a production incident waiting to happen.
5. Health Checks & Probes	Liveness, readiness and startup probes, and the difference between "the container is running" and "the container is actually healthy."
6. 🚀 Mock Interview Checkpoint	Kubernetes core: explain a Deployment's rollout, debug a CrashLoopBackOff, and "why is this pod not receiving traffic" live troubleshooting.

3 CI/CD Pipeline Engineering & GitOps 2 wks ▾

Topic	What You'll Learn
1. Building CI/CD Pipelines	Structuring build, test and deploy stages in GitLab CI or Jenkins so a pipeline fails fast and fails clearly.
2. GitOps with ArgoCD & Flux	Git as the single source of truth for what's running in a cluster, and reconciling drift automatically instead of by hand.
3. Progressive Delivery	Canary and blue-green rollouts with Argo Rollouts, and shipping a risky change to 5% of traffic before it reaches everyone.
4. Pipeline Security & Secrets in CI	Keeping credentials out of pipeline logs and source control while still letting a pipeline deploy on its own.
4.1) Real-world starting point	Most tutorials stop at "push to deploy." Real pipelines are judged on how safely they roll back, which is what this module is actually built around.

4 Infrastructure as Code (Multi-Cloud) 1.5 wks ▾

Topic	What You'll Learn
1. Terraform Fundamentals for Multi-Cloud Provisioning	Providers, state, and writing infrastructure definitions that aren't tied to one cloud's console.
2. Terraform Modules & Workspaces	Reusable, parameterized infrastructure and managing multiple environments from the same codebase without copy-paste drift.
3. Packer for Image Building	Building consistent, versioned machine and container images as part of the same IaC pipeline.
4. IaC Testing & Validation	Linting, plan review and policy checks that catch a destructive change before `terraform apply` runs it.
4.1) Why this module exists	This is deliberately cloud-agnostic Terraform practice — provisioning patterns and module design that transfer whether the target is AWS, Azure, GCP or on-prem, not a single cloud's service walkthrough.

5 Comprehensive Interview Preparation & Career Launch 1 wk ▾

Topic	What You'll Learn
1. DevOps/SRE/Platform Engineer Interview Question Bank	Docker, Kubernetes, CI/CD, IaC and observability questions asked in real interviews, reviewed and explained.
2. Resume & LinkedIn Building for DevOps/SRE/Platform Roles	Framing infrastructure and reliability work the way a hiring manager actually scans a resume.
3. Live Mock Interviews with Feedback	Recorded, one-on-one mock interviews with a working DevOps/SRE engineer, with specific, actionable feedback.
4. "Debug This Production Incident Live" Round	Practising the exact live-troubleshooting question that separates candidates who've memorized commands from those who can actually reason under pressure.
5. Salary Negotiation & Offer Evaluation	Reading an offer letter and negotiating from an informed position.
6. Placement Assistance	Referrals and interview opportunities where available, resume review, and continued mentor access after the course ends. Placement assistance is support, not a guarantee of a job or a specific salary — see full terms.
7. 🚀 Final Mock Interview	A full-length, role-realistic DevOps/SRE/Platform Engineer interview, end to end.

Topic	What You'll Learn
1. DevOps/SRE/Platform Engineer Interview Question Bank	Docker, Kubernetes, CI/CD, IaC and observability questions asked in real interviews, reviewed and explained.
2. Resume & LinkedIn Building for DevOps/SRE/Platform Roles	Framing infrastructure and reliability work the way a hiring manager actually scans a resume.
3. Live Mock Interviews with Feedback	Recorded, one-on-one mock interviews with a working DevOps/SRE engineer, with specific, actionable feedback.
4. "Debug This Production Incident Live" Round	Practising the exact live-troubleshooting question that separates candidates who've memorized commands from those who can actually reason under pressure.
5. Salary Negotiation & Offer Evaluation	Reading an offer letter and negotiating from an informed position.
6. Placement Assistance	Referrals and interview opportunities where available, resume review, and continued mentor access after the course ends. Placement assistance is support, not a guarantee of a job or a specific salary — see full terms.
7. 🚀 Final Mock Interview	A full-length, role-realistic DevOps/SRE/Platform Engineer interview, end to end.

1 Observability & Monitoring 1.5 wks ▾

Topic	What You'll Learn
1. Prometheus & Grafana	Metrics collection, PromQL queries, and building dashboards that answer a question instead of just showing numbers.
2. The ELK/EFK Stack for Logging	Centralizing logs from every service so "grep the server" is never the debugging strategy again.
3. Distributed Tracing with OpenTelemetry	Following one request across a dozen microservices to find which hop actually added the latency.
4. Building Actionable Dashboards & Alerts	Alerting on symptoms users feel, not on every metric that can technically fire, to avoid the alert fatigue that trains engineers to ignore pages.
4.1) Real-world starting point	This module is built around a single incident: a slow checkout flow with no single obvious cause, traced end to end using exactly these three tools together.

2 Platform Engineering & Internal Developer Platforms 1.5 wks ▾

Topic	What You'll Learn
1. What Platform Engineering Is & Why It Emerged	The shift from "every team owns its own DevOps" to a platform team that removes that burden at scale.
2. Building a Self-Service Internal Developer Platform (IDP) with Backstage	Giving developers a service catalog and self-service actions instead of a ticket queue.
3. Golden Paths	Designing an opinionated, supported default way to ship a service so most teams never need to reinvent their own pipeline.
4. Developer Experience (DevEx) Metrics	Measuring whether a platform is actually helping developers ship faster, not just whether it exists.
4.1) Why this module exists	Platform engineering is one of the fastest-growing DevOps-adjacent roles going into 2026, and almost no competing catalogue teaches it as its own discipline rather than a Kubernetes footnote.

3 DevSecOps & Security 1.5 wks ▾

Topic	What You'll Learn
1. Shifting Security Left	Building security checks into the pipeline itself instead of a separate audit after the fact.
2. Container & Image Scanning	Catching vulnerable dependencies and misconfigured images before they reach a running cluster.
3. Secrets Management with Vault	Issuing, rotating and revoking credentials dynamically instead of storing long-lived secrets in config files.
4. Policy as Code with OPA & Kyverno	Enforcing "no pod may run as root" and similar rules automatically, cluster-wide, instead of by code review.
5. Supply-Chain Security Basics	Software Bill of Materials (SBOM) generation and why knowing exactly what's inside an image matters after a dependency gets compromised.
5.1) Why this module exists	Security is treated as core DevOps practice here, not an add-on chapter — the questions interviewers now ask about pipeline and cluster security assume this is baseline knowledge.

Topic	What You'll Learn
1. Shifting Security Left	Building security checks into the pipeline itself instead of a separate audit after the fact.
2. Container & Image Scanning	Catching vulnerable dependencies and misconfigured images before they reach a running cluster.
3. Secrets Management with Vault	Issuing, rotating and revoking credentials dynamically instead of storing long-lived secrets in config files.
4. Policy as Code with OPA & Kyverno	Enforcing "no pod may run as root" and similar rules automatically, cluster-wide, instead of by code review.
5. Supply-Chain Security Basics	Software Bill of Materials (SBOM) generation and why knowing exactly what's inside an image matters after a dependency gets compromised.
5.1) Why this module exists	Security is treated as core DevOps practice here, not an add-on chapter — the questions interviewers now ask about pipeline and cluster security assume this is baseline knowledge.

4 AI-Augmented SRE & Platform Engineering 1 wk ▾

Topic	What You'll Learn
1. AI Coding Assistants for IaC & Kubernetes Manifests	Drafting Terraform and YAML faster, then reviewing the output like a senior engineer would review a junior's PR.
2. AI-Assisted Incident Response & Root-Cause Analysis (AIOps)	Correlating logs, metrics and traces with AI to get to a root-cause hypothesis faster during an active incident.
3. Where AI Still Needs a Human SRE's Judgement	Hallucinated remediation steps, AI confidently misreading a cascading failure, and why the human stays the one who approves the fix during an incident.
3.1) Where AI gets it wrong	An AI assistant can suggest a plausible-looking rollback that makes an incident worse; this module is built around catching that before it's applied, the same discipline taught across every Fourcup AI-augmented module.

5 Comprehensive Interview Preparation & Career Launch 0.5 wk ▾

Topic	What You'll Learn
1. DevOps/SRE/Platform Engineer Interview Question Bank	Docker, Kubernetes, CI/CD, IaC and observability questions asked in real interviews, reviewed and explained.
2. Resume & LinkedIn Building for DevOps/SRE/Platform Roles	Framing infrastructure and reliability work the way a hiring manager actually scans a resume.
3. Live Mock Interviews with Feedback	Recorded, one-on-one mock interviews with a working DevOps/SRE engineer, with specific, actionable feedback.
4. "Debug This Production Incident Live" Round	Practising the exact live-troubleshooting question that separates candidates who've memorized commands from those who can actually reason under pressure.
5. Salary Negotiation & Offer Evaluation	Reading an offer letter and negotiating from an informed position.
6. Placement Assistance	Referrals and interview opportunities where available, resume review, and continued mentor access after the course ends. Placement assistance is support, not a guarantee of a job or a specific salary — see full terms.
7. 🚀 Final Mock Interview	A full-length, role-realistic DevOps/SRE/Platform Engineer interview, end to end.

Topic	What You'll Learn
1. DevOps/SRE/Platform Engineer Interview Question Bank	Docker, Kubernetes, CI/CD, IaC and observability questions asked in real interviews, reviewed and explained.
2. Resume & LinkedIn Building for DevOps/SRE/Platform Roles	Framing infrastructure and reliability work the way a hiring manager actually scans a resume.
3. Live Mock Interviews with Feedback	Recorded, one-on-one mock interviews with a working DevOps/SRE engineer, with specific, actionable feedback.
4. "Debug This Production Incident Live" Round	Practising the exact live-troubleshooting question that separates candidates who've memorized commands from those who can actually reason under pressure.
5. Salary Negotiation & Offer Evaluation	Reading an offer letter and negotiating from an informed position.
6. Placement Assistance	Referrals and interview opportunities where available, resume review, and continued mentor access after the course ends. Placement assistance is support, not a guarantee of a job or a specific salary — see full terms.
7. 🚀 Final Mock Interview	A full-length, role-realistic DevOps/SRE/Platform Engineer interview, end to end.

1 DevOps Culture, Git & Linux Fundamentals 1 wk ▾

Topic	What You'll Learn
1. DevOps Principles & the CALMS Framework	Culture, Automation, Lean, Measurement and Sharing, and why "DevOps is a tool you install" is the first wrong idea to unlearn.
2. Git Branching & Workflows at Scale	Trunk-based development, feature branches, rebasing vs. merging, and resolving the conflicts a solo tutorial never shows you.
3. Linux Administration for DevOps Engineers	Process management, systemd, file permissions, networking basics and package management on the distros teams actually run in production.
4. Shell Scripting for Automation	Writing Bash scripts that other engineers can read and safely re-run, not one-off one-liners that break on the next input.
4.1) Why this module exists	Every tool taught after this one assumes comfortable Git and Linux — skipping this is why "I learned Kubernetes" candidates still stall on a live terminal round.

Topic	What You'll Learn
1. DevOps Principles & the CALMS Framework	Culture, Automation, Lean, Measurement and Sharing, and why "DevOps is a tool you install" is the first wrong idea to unlearn.
2. Git Branching & Workflows at Scale	Trunk-based development, feature branches, rebasing vs. merging, and resolving the conflicts a solo tutorial never shows you.
3. Linux Administration for DevOps Engineers	Process management, systemd, file permissions, networking basics and package management on the distros teams actually run in production.
4. Shell Scripting for Automation	Writing Bash scripts that other engineers can read and safely re-run, not one-off one-liners that break on the next input.
4.1) Why this module exists	Every tool taught after this one assumes comfortable Git and Linux — skipping this is why "I learned Kubernetes" candidates still stall on a live terminal round.

2 Docker Deep Dive 1.5 wks ▾

Topic	What You'll Learn
1. Multi-Stage Builds	Cutting a 1.2GB image down to a lean production image by separating build-time and run-time layers.
2. Image Optimization & Security Scanning	Layer caching, minimal base images (distroless/alpine) and scanning images for known CVEs before they ship.
3. Docker Compose for Local Development	Wiring up a multi-container app (API, database, cache) so a new teammate is productive in one command.
4. Container Networking & Storage	Bridge networks, volumes vs. bind mounts, and why "it worked on my machine" is usually a networking or storage assumption.
4.1) Real-world starting point	Most engineers meet Docker as a black box that "just runs the app." This module is built around debugging a container that won't start, which is the actual day-one skill.

3 Kubernetes Core Concepts 1.5 wks ▾

Topic	What You'll Learn
1. Pods, Deployments & Services	The core objects, how a Deployment manages ReplicaSets, and exposing a workload inside and outside the cluster.
2. ConfigMaps & Secrets	Externalizing configuration and sensitive values from container images the right way, and the ways teams still get this wrong.
3. Namespaces & Resource Organization	Isolating teams and environments on a shared cluster without stepping on each other's workloads.
4. Scheduling & Resource Requests/Limits	How the scheduler places pods, and why an app with no resource limits set is a production incident waiting to happen.
5. Health Checks & Probes	Liveness, readiness and startup probes, and the difference between "the container is running" and "the container is actually healthy."
6. 🚀 Mock Interview Checkpoint	Kubernetes core: explain a Deployment's rollout, debug a CrashLoopBackOff, and "why is this pod not receiving traffic" live troubleshooting.

Topic	What You'll Learn
1. Pods, Deployments & Services	The core objects, how a Deployment manages ReplicaSets, and exposing a workload inside and outside the cluster.
2. ConfigMaps & Secrets	Externalizing configuration and sensitive values from container images the right way, and the ways teams still get this wrong.
3. Namespaces & Resource Organization	Isolating teams and environments on a shared cluster without stepping on each other's workloads.
4. Scheduling & Resource Requests/Limits	How the scheduler places pods, and why an app with no resource limits set is a production incident waiting to happen.
5. Health Checks & Probes	Liveness, readiness and startup probes, and the difference between "the container is running" and "the container is actually healthy."
6. 🚀 Mock Interview Checkpoint	Kubernetes core: explain a Deployment's rollout, debug a CrashLoopBackOff, and "why is this pod not receiving traffic" live troubleshooting.

4 Advanced Kubernetes 1.5 wks ▾

Topic	What You'll Learn
1. Helm Charts	Templating and packaging Kubernetes manifests so an app ships the same way across dev, staging and production.
2. Kubernetes Operators	What an Operator is, the controller pattern behind it, and why teams reach for one instead of a pile of custom scripts.
3. Autoscaling	HPA, VPA and the Cluster Autoscaler working together so a workload scales with real demand instead of a guessed replica count.
4. StatefulSets	Running stateful workloads (databases, queues) on Kubernetes correctly, with stable network identity and ordered rollout.
5. Ingress Controllers	Routing external traffic into the cluster, TLS termination, and path- and host-based routing rules.
5.1) Why this module exists	This is the gap between "I deployed an app to Kubernetes once" and "I run production workloads on Kubernetes" — the line hiring managers actually probe for.

Topic	What You'll Learn
1. Helm Charts	Templating and packaging Kubernetes manifests so an app ships the same way across dev, staging and production.
2. Kubernetes Operators	What an Operator is, the controller pattern behind it, and why teams reach for one instead of a pile of custom scripts.
3. Autoscaling	HPA, VPA and the Cluster Autoscaler working together so a workload scales with real demand instead of a guessed replica count.
4. StatefulSets	Running stateful workloads (databases, queues) on Kubernetes correctly, with stable network identity and ordered rollout.
5. Ingress Controllers	Routing external traffic into the cluster, TLS termination, and path- and host-based routing rules.
5.1) Why this module exists	This is the gap between "I deployed an app to Kubernetes once" and "I run production workloads on Kubernetes" — the line hiring managers actually probe for.

5 CI/CD Pipeline Engineering & GitOps 1.5 wks ▾

Topic	What You'll Learn
1. Building CI/CD Pipelines	Structuring build, test and deploy stages in GitLab CI or Jenkins so a pipeline fails fast and fails clearly.
2. GitOps with ArgoCD & Flux	Git as the single source of truth for what's running in a cluster, and reconciling drift automatically instead of by hand.
3. Progressive Delivery	Canary and blue-green rollouts with Argo Rollouts, and shipping a risky change to 5% of traffic before it reaches everyone.
4. Pipeline Security & Secrets in CI	Keeping credentials out of pipeline logs and source control while still letting a pipeline deploy on its own.
4.1) Real-world starting point	Most tutorials stop at "push to deploy." Real pipelines are judged on how safely they roll back, which is what this module is actually built around.

6 Infrastructure as Code (Multi-Cloud) 1 wk ▾

Topic	What You'll Learn
1. Terraform Fundamentals for Multi-Cloud Provisioning	Providers, state, and writing infrastructure definitions that aren't tied to one cloud's console.
2. Terraform Modules & Workspaces	Reusable, parameterized infrastructure and managing multiple environments from the same codebase without copy-paste drift.
3. Packer for Image Building	Building consistent, versioned machine and container images as part of the same IaC pipeline.
4. IaC Testing & Validation	Linting, plan review and policy checks that catch a destructive change before `terraform apply` runs it.
4.1) Why this module exists	This is deliberately cloud-agnostic Terraform practice — provisioning patterns and module design that transfer whether the target is AWS, Azure, GCP or on-prem, not a single cloud's service walkthrough.

7 Observability & Monitoring 1.5 wks ▾

Topic	What You'll Learn
1. Prometheus & Grafana	Metrics collection, PromQL queries, and building dashboards that answer a question instead of just showing numbers.
2. The ELK/EFK Stack for Logging	Centralizing logs from every service so "grep the server" is never the debugging strategy again.
3. Distributed Tracing with OpenTelemetry	Following one request across a dozen microservices to find which hop actually added the latency.
4. Building Actionable Dashboards & Alerts	Alerting on symptoms users feel, not on every metric that can technically fire, to avoid the alert fatigue that trains engineers to ignore pages.
4.1) Real-world starting point	This module is built around a single incident: a slow checkout flow with no single obvious cause, traced end to end using exactly these three tools together.

8 Platform Engineering & Internal Developer Platforms 1.5 wks ▾

Topic	What You'll Learn
1. What Platform Engineering Is & Why It Emerged	The shift from "every team owns its own DevOps" to a platform team that removes that burden at scale.
2. Building a Self-Service Internal Developer Platform (IDP) with Backstage	Giving developers a service catalog and self-service actions instead of a ticket queue.
3. Golden Paths	Designing an opinionated, supported default way to ship a service so most teams never need to reinvent their own pipeline.
4. Developer Experience (DevEx) Metrics	Measuring whether a platform is actually helping developers ship faster, not just whether it exists.
4.1) Why this module exists	Platform engineering is one of the fastest-growing DevOps-adjacent roles going into 2026, and almost no competing catalogue teaches it as its own discipline rather than a Kubernetes footnote.

9 DevSecOps & Security 1.5 wks ▾

Topic	What You'll Learn
1. Shifting Security Left	Building security checks into the pipeline itself instead of a separate audit after the fact.
2. Container & Image Scanning	Catching vulnerable dependencies and misconfigured images before they reach a running cluster.
3. Secrets Management with Vault	Issuing, rotating and revoking credentials dynamically instead of storing long-lived secrets in config files.
4. Policy as Code with OPA & Kyverno	Enforcing "no pod may run as root" and similar rules automatically, cluster-wide, instead of by code review.
5. Supply-Chain Security Basics	Software Bill of Materials (SBOM) generation and why knowing exactly what's inside an image matters after a dependency gets compromised.
5.1) Why this module exists	Security is treated as core DevOps practice here, not an add-on chapter — the questions interviewers now ask about pipeline and cluster security assume this is baseline knowledge.

Topic	What You'll Learn
1. Shifting Security Left	Building security checks into the pipeline itself instead of a separate audit after the fact.
2. Container & Image Scanning	Catching vulnerable dependencies and misconfigured images before they reach a running cluster.
3. Secrets Management with Vault	Issuing, rotating and revoking credentials dynamically instead of storing long-lived secrets in config files.
4. Policy as Code with OPA & Kyverno	Enforcing "no pod may run as root" and similar rules automatically, cluster-wide, instead of by code review.
5. Supply-Chain Security Basics	Software Bill of Materials (SBOM) generation and why knowing exactly what's inside an image matters after a dependency gets compromised.
5.1) Why this module exists	Security is treated as core DevOps practice here, not an add-on chapter — the questions interviewers now ask about pipeline and cluster security assume this is baseline knowledge.

10 AI-Augmented SRE & Platform Engineering 1 wk ▾

Topic	What You'll Learn
1. AI Coding Assistants for IaC & Kubernetes Manifests	Drafting Terraform and YAML faster, then reviewing the output like a senior engineer would review a junior's PR.
2. AI-Assisted Incident Response & Root-Cause Analysis (AIOps)	Correlating logs, metrics and traces with AI to get to a root-cause hypothesis faster during an active incident.
3. Where AI Still Needs a Human SRE's Judgement	Hallucinated remediation steps, AI confidently misreading a cascading failure, and why the human stays the one who approves the fix during an incident.
3.1) Where AI gets it wrong	An AI assistant can suggest a plausible-looking rollback that makes an incident worse; this module is built around catching that before it's applied, the same discipline taught across every Fourcup AI-augmented module.

11 Comprehensive Interview Preparation & Career Launch 1 wk ▾

Topic	What You'll Learn
1. DevOps/SRE/Platform Engineer Interview Question Bank	Docker, Kubernetes, CI/CD, IaC and observability questions asked in real interviews, reviewed and explained.
2. Resume & LinkedIn Building for DevOps/SRE/Platform Roles	Framing infrastructure and reliability work the way a hiring manager actually scans a resume.
3. Live Mock Interviews with Feedback	Recorded, one-on-one mock interviews with a working DevOps/SRE engineer, with specific, actionable feedback.
4. "Debug This Production Incident Live" Round	Practising the exact live-troubleshooting question that separates candidates who've memorized commands from those who can actually reason under pressure.
5. Salary Negotiation & Offer Evaluation	Reading an offer letter and negotiating from an informed position.
6. Placement Assistance	Referrals and interview opportunities where available, resume review, and continued mentor access after the course ends. Placement assistance is support, not a guarantee of a job or a specific salary — see full terms.
7. 🚀 Final Mock Interview	A full-length, role-realistic DevOps/SRE/Platform Engineer interview, end to end.

Topic	What You'll Learn
1. DevOps/SRE/Platform Engineer Interview Question Bank	Docker, Kubernetes, CI/CD, IaC and observability questions asked in real interviews, reviewed and explained.
2. Resume & LinkedIn Building for DevOps/SRE/Platform Roles	Framing infrastructure and reliability work the way a hiring manager actually scans a resume.
3. Live Mock Interviews with Feedback	Recorded, one-on-one mock interviews with a working DevOps/SRE engineer, with specific, actionable feedback.
4. "Debug This Production Incident Live" Round	Practising the exact live-troubleshooting question that separates candidates who've memorized commands from those who can actually reason under pressure.
5. Salary Negotiation & Offer Evaluation	Reading an offer letter and negotiating from an informed position.
6. Placement Assistance	Referrals and interview opportunities where available, resume review, and continued mentor access after the course ends. Placement assistance is support, not a guarantee of a job or a specific salary — see full terms.
7. 🚀 Final Mock Interview	A full-length, role-realistic DevOps/SRE/Platform Engineer interview, end to end.

The curriculum for this package has not been added yet.

WHAT YOU GET

This Course Includes

💻

Online

🎯

14.5 Weeks Duration (Flexible)

🖥

5 Real Industry Projects

🏆

Certificate on Completion

♾️

Lifetime Access to Recordings

💼

Job References to 50+ Companies

🎯

5 Mock Interview Rounds

🗣

Soft Skills & Communication

📱

WhatsApp Batch Support

📥

Brochure & Syllabus Download

🛠 Tools Covered:

GitLinuxBashDockerKubernetesHelmKubernetes OperatorsGitLab CIJenkinsArgoCDFluxArgo RolloutsTerraformPackerPrometheusGrafanaELK/EFKOpenTelemetryBackstageHashiCorp VaultOPAKyvernoAI-assisted DevOps/SRE tools

⬇️ Download Syllabus 💬 Enquire About This Course

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YOUR MENTOR

Who teaches this course

Sessions are taught by someone who does this work, not by a full-time trainer reading slides.

👨‍🏫

Fourcup Platform Engineering Faculty

Real Industry Trainers, Not Just Instructors

Every Fourcup trainer has a minimum of 10+ years of total IT industry experience and 5+ years of specific, hands-on experience in the exact tool or domain they teach. They are currently working professionals — the frameworks, edge cases and interview questions taught are what's actually used in live projects today. Mock-interview mentors are the same trainers who conduct real technical interviews at their day jobs.

10+ years experience Active practitioner

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BATCHES

When you can start

Weekday, weekend and fast-track options. Seats are limited so sessions stay small enough to ask questions in.

Batch dates for this course have not been added yet.

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FAQ

Questions people actually ask

If yours is not here, call us — a working engineer will answer, not a call centre.

No questions have been added for this course yet.

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